Introdução

📘 Sobre este Estudo

Este notebook foi elaborado com fins didáticos e demonstrativos para mostrar como aplicar técnicas de inferência estatística, utilizando tanto métodos clássicos (paramétricos) quanto computacionais (como bootstrap e testes de aleatorização).

---

🛒 Contexto do Problema

A empresa fictícia RetailX, uma varejista digital, lançou uma campanha para testar o impacto de diferentes estratégias promocionais sobre o comportamento de seus clientes. A empresa está especialmente interessada em entender:

• Se as campanhas aumentam o engajamento no site
• Se as campanhas influenciam a taxa de conversão (compra)
• Se há impacto no valor total gasto

Para isso, um experimento foi conduzido com quatro grupos de clientes, atribuídos aleatoriamente.

---

🎯 Objetivo do Estudo

Avaliar se diferentes tipos de campanha geram diferenças estatisticamente significativas em:

• Taxa de conversão (realizou compra ou não)
• Valor de compra (gasto em reais)
• Número de visitas ao site (antes e depois da campanha)

---

🧾 Descrição das Variáveis

Variável	Tipo	Descrição
grupo	Categórica	Campanha recebida pelo cliente: • A: grupo controle (não recebeu estímulo) • B: cupom de desconto • C: frete grátis • D: cashback
evento	Binária	Indicador de conversão: o cliente realizou uma compra? (1 = sim, 0 = não)
score	Contínua	Valor total gasto pelo cliente (em reais) durante o período da campanha
pre_treinamento	Contínua	Número de visitas ao site antes da campanha
pos_treinamento	Contínua	Número de visitas ao site após a campanha

---

🧠 O que significa “grupo controle”?

O grupo controle (grupo = A) é formado por clientes que não receberam nenhuma campanha promocional. Esse grupo serve como referência neutra, permitindo que possamos comparar com os demais grupos e isolar o efeito da campanha.

Exemplo: Se o grupo B (cupom) tiver maior conversão do que o grupo A (controle), é possível afirmar com maior confiança que o cupom teve impacto real — desde que a diferença seja estatisticamente significativa.

Análises

0. Setup

# SETUP
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm, t, f, chi2

# LOAD: A base já está sanitizada.
base = pd.read_excel("dados/base_retailx.xlsx")
base.head()

	grupo	evento	score	pre_treinamento	pos_treinamento
0	A	0	0.00	6	6
1	A	1	70.68	4	4
2	A	1	60.23	6	6
3	A	1	102.16	8	8
4	A	0	0.00	1	2

1. Construa um intervalo de confiança de 95% para estimar a proporção de clientes que realizaram compra.

# Variável observada
X = base["evento"].values

# Tamanho da amostra
n = X.shape[0]

# Proporção amostral observada
p_obs = X.mean()

print(f"n = {n}")
print(f"p_obs = {np.round(p_obs, 2)}")

n = 300
p_obs = 0.57

Modelo Paramétrico

# Melhor estimativa para p
p = p_obs

# Validação de aproximação pela normal
print((n*p >= 10) & (n*(1-p) >= 10))

True

# Erro Padrão
SE = np.sqrt(p*(1-p)/n)
print(f"SE = {np.round(SE, 2)}")

SE = 0.03

# Obtenção do Zc
gama = .95
q    = (1- gama)/2 + gama
Zc   = norm.ppf(q=q)
print(f"Zc = {np.round(Zc, 2)}")

Zc = 1.96

# Intervalo de confiança
p0 = p_obs - Zc*SE
p1 = p_obs + Zc*SE
print(f"IC = [{np.round(p0, 2)}, {np.round(p1, 2)}]")
print(f"IC = {np.round(p_obs, 2)} +- {np.round(Zc, 2)} * {np.round(SE, 2)}")

IC = [0.51, 0.62]
IC = 0.57 +- 1.96 * 0.03

Conclusão

• Temos 95% de confiança de que o verdadeiro valor da proporção populacional (p) está entre 51% e 62%. Em outras palavras, acreditamos com 95% de confiança que a taxa de conversão dos clientes dessa loja se encontra nesse intervalo.

• Essa confiança não deve ser interpretada como a probabilidade de que este intervalo específico contenha (p), pois o valor de (p) é fixo (embora desconhecido), e o intervalo é aleatório.

• A interpretação correta é: Se repetíssemos esse mesmo processo de amostragem e construção de intervalo muitas vezes, em 95% dos casos os intervalos obtidos conteriam o verdadeiro valor de (p).

• Portanto, com base nessa confiança no processo, podemos selecionar este único intervalo e afirmar com 95% de confiança que o verdadeiro valor de (p) está entre 51% e 62%.

Modelo Computacional

Bootstrapping é um método de reamostragem que assume que a amostra observada é representativa da população.

• Gera muitas amostras com reposição a partir da amostra original
• Calcula a estatística de interesse em cada amostra
• Obtém a distribuição bootstrap dessa estatística

Premissas:

• Amostra representativa
• Observações independentes e identicamente distribuídas (i.i.d.)

Procedimento:

1. Sortear B amostras de tamanho n com reposição
2. Calcular a estatística em cada amostra
3. Usar a distribuição resultante para inferência

Escolhas práticas:

• B grande (ex.: 1.000–10.000)
• Manter n igual ao tamanho da amostra original

Limitação:

• Se a amostra não for representativa, o bootstrap herda o viés

# Remostragem bootstrap
def bootstrap_resample(X):

    # amostra bootstrap do mesmo tamanho de X
    return np.random.choice(X, size=len(X), replace=True)


# Distribução
dist_boot = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    X_boot = bootstrap_resample(X)

    # Estatística de interese    
    dist_boot.append(X_boot.mean())

dist_boot = np.array(dist_boot)

# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")

SE = 0.03

# Intervalo de confiança
p0 = np.quantile(dist_boot, (1 - gama)/2)
p1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(p0, 2)}, {np.round(p1, 2)}]")

IC = [0.51, 0.62]

2. Podemos afirmar que a taxa de conversão dos clientes é superior que 50%?

Hipóteses do Teste

• H₀ (Hipótese nula): A taxa de conversão na população não é superior a 50%. O valor observado pode ser explicado apenas pela variabilidade amostral (acaso na seleção da amostra).
• H₁ (Hipótese alternativa): A taxa de conversão na população é superior a 50%.

Notação formal:

• H₀: p = po | (po = 50%)
• H₁: p > po

Modelo Paramétrico

# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")

alpha = 0.05

# Distribuição sob H0
po = .5
print(f"p0 = {np.round(po, 2)}")

p0 = 0.5

# Validação de aproximação pela normal
print((n*p0 >= 10) & (n*(1-p0) >= 10))

True

# Padronizando o valor observado
Z_obs = (p_obs - po)/np.sqrt(po*(1-po)/n)
print(f"Z_obs = {np.round(Z_obs, 2)}")

Z_obs = 2.31

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = 1 - norm.cdf(Z_obs)

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

p-valor = 0.01 < α = 0.05 → Rejeitamos H0

Conclusão

• Ao nível de significância de 5% (probabilidade de rejeitar incorretamente a hipótese nula), temos evidência suficiente para rejeitar H₀ em favor de H₁.
  Com isso, concluímos que a taxa de conversão dos clientes é superior a 50%.
  

Modelo Computacional

Aqui podemos utilizar o bootstrap para criar a distribuição sob $H_0$, ou seja, gerar uma distribuição amostral da proporção a partir de uma população com $p = 0{,}5$, por meio da reamostragem com reposição de uma amostra inicial simulada de tamanho $n$ cuja proporção amostral ($p_{\text{amostral}}$) é igual a $0{,}5$.

# Criando amostra simulada com p_amostral = 0,5
X_sim = np.array([0]*int(n/2) + [1]*int(n/2))
X_sim

array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1,
       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])

# Distribuição sob Ho
dist_boot = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    X_boot = bootstrap_resample(X_sim)

    # Estatística de interese      
    dist_boot.append(X_boot.mean())

dist_boot = np.array(dist_boot)

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (dist_boot >= p_obs).mean()

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

p-valor = 0.01 < α = 0.05 → Rejeitamos H0

3. Construa um intervalo de confiança de 95% para estimar a diferença na taxa de conversão entre os grupos B e D.

# Grupo B: Teve cupom de desconto

# Variável observada
XB = base.loc[(base["grupo"] == "B"), "evento"].values

# Tamanho da amostra
nB = XB.shape[0]

# Proporção amostral observada
pB_obs = XB.mean()

print(f"nB = {nB}")
print(f"pB_obs = {np.round(pB_obs, 2)}")

nB = 75
pB_obs = 0.63

# Grupo D: Teve cashback

# Variável observada
XD = base.loc[(base["grupo"] == "D"), "evento"].values

# Tamanho da amostra
nD = XD.shape[0]

# Proporção amostral observada
pD_obs = XD.mean()

print(f"nD = {nD}")
print(f"pD_obs = {np.round(pD_obs, 2)}")

nD = 75
pD_obs = 0.61

# Diferença observada
diff_B_D_obs = pB_obs - pD_obs
print(f"diff_B_D_obs = {np.round(diff_B_D_obs, 2)}")

diff_B_D_obs = 0.01

Modelo Paramétrico

# Melhor estimativa para pB
pB = pB_obs

# Validação de aproximação pela normal
print((nB*pB >= 10) & (nB*(1-pB) >= 10))

True

# Melhor estimativa para pD
pD = pD_obs

# Validação de aproximação pela normal
print((nD*pD >= 10) & (nD*(1-pD) >= 10))

True

# Erro Padrão
SE = np.sqrt(pB*(1-pB)/nB + pD*(1-pD)/nD)
print(f"SE = {np.round(SE, 2)}")

SE = 0.08

# Obtenção do Zc
gama = .95
q    = (1- gama)/2 + gama
Zc   = norm.ppf(q=q)
print(f"Zc = {np.round(Zc, 2)}")

Zc = 1.96

# Intervalo de confiança
d0 = diff_B_D_obs - Zc*SE
d1 = diff_B_D_obs + Zc*SE
print(f"IC = [{np.round(d0, 2)}, {np.round(d1, 2)}]")
print(f"IC = {np.round(diff_B_D_obs, 2)} +- {np.round(Zc, 2)} * {np.round(SE, 2)}")

IC = [-0.14, 0.17]
IC = 0.01 +- 1.96 * 0.08

Conclusão

• Com 95% de confiança, estimamos que a diferença populacional nas taxas de conversão entre os grupos B e D (pB - pD) esteja entre -14 p.p. e 17 p.p.
• Em outras palavras, acreditamos que a taxa de conversão do grupo B pode ser até 14 pontos percentuais menor ou até 17 pontos percentuais maior do que a do grupo D.

Modelo Computacional

bootstrap

# Distribução
dist_boot = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    XB_boot = bootstrap_resample(XB)
    XD_boot = bootstrap_resample(XD)

    # Estatística de interese    
    dist_boot.append(XB_boot.mean() - XD_boot.mean())

dist_boot = np.array(dist_boot)

# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")

SE = 0.08

# Intervalo de confiança
d0 = np.quantile(dist_boot, (1 - gama)/2)
d1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(d0, 3)}, {np.round(d1, 3)}]")

IC = [-0.147, 0.173]

4. Podemos concluir que a taxa de conversão nos grupos B e D são diferentes?

O resultado apresentado no item 3 já responde à pergunta: com 95% de confiança, estimamos que a diferença populacional nas taxas de conversão entre os grupos B e D (pB - pD) esteja entre -14 p.p. e 17 p.p.

Como esse intervalo inclui o valor 0, não temos evidência estatística suficiente para concluir que existe uma diferença significativa entre as taxas de conversão dos dois grupos, ao nível de significância de 5%.

Além disso, a realização de um teste de hipótese formal para a diferença entre proporções levaria à mesma conclusão, reforçando que não há evidência de diferença estatisticamente significativa — o que faremos na sequência.

Hipóteses do Teste

• H₀ (Hipótese nula): Não há diferença na taxa de conversão entre os grupos B e D. A diferença observada pode ser atribuída à variabilidade amostral (isto é, ao acaso na seleção da amostra).
• H₁ (Hipótese alternativa): Existe uma diferença real entre as taxas de conversão dos grupos B e D.

Notação formal:

• H₀: pB - pD = do | (do = 0)
• H₁: pB - pD != do

Modelo Paramétrico

# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")

alpha = 0.05

# Distribuição sob H0
po = (nB * pB_obs + nD * pD_obs) / (nB + nD)
print(f"p0 = {np.round(po, 2)}")

p0 = 0.62

# Validação de aproximação pela normal
print((nB*p0 >= 10) & (nB*(1-p0) >= 10))
print((nD*p0 >= 10) & (nD*(1-p0) >= 10))

True
True

# Padronizando o valor observado
Z_obs = (pB_obs - pD_obs)/np.sqrt((po*(1-po)/nB) + (po*(1-po)/nD)) 
print(f"Z_obs = {np.round(Z_obs, 2)}")

Z_obs = 0.17

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = norm.cdf(-Z_obs) + (1 - norm.cdf(Z_obs))

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

p-valor = 0.87 ≥ α = 0.05 → Não rejeitamos H0

Conclusão

• Ao nível de significância de 5%, não encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
  Com isso, não podemos concluir que exista diferença significativa nas taxas de conversão entre os grupos B e D.
  

Modelo Computacional

Aqui podemos utilizar uma técnica computacional chamada Randomization Test para construir uma distribuição amostral das diferenças das proporções entre os grupos B e D, sob a condição de $H_{0}$ verdadeiro.

Sob $H_{0}$ verdadeiro, assumimos que tanto B quanto D provêm da mesma população, ou seja, não há diferença na proporção obtida nesses dois grupos.

Uma forma de simular esse cenário é: a partir da amostra original de B e D, embaralhar todos os elementos e, supondo que não há diferença entre os grupos, selecionar sem reposição e de forma aleatória um pseudo-grupo B e um pseudo-grupo D. Em seguida, calcular a estatística de interesse para esses pseudo-grupos.

Repetindo esse processo muitas vezes, obtemos uma distribuição da estatística sob $H_{0}$.

data = base.loc[(base["grupo"] == "B") |(base["grupo"] == "D"), ["evento", "grupo"]].reset_index(drop=True)
X = data["grupo"].values
Y = data["evento"].values

# Randomization test:
def randomization_resample(X:np.array, Y:np.array) -> pd.DataFrame:

    arr           = np.random.permutation(Y)
    shuffled_data = pd.DataFrame(columns=["X", "Y"])
    labels, ns    = np.unique(X, return_counts=True)

    for label, n in zip(labels, ns):
        aux = pd.DataFrame({
            "X": [label] * n,
            "Y": arr[:n]
        })
        shuffled_data = pd.concat([shuffled_data, aux], axis=0)
        arr = arr[n:]

    return shuffled_data.reset_index(drop=True)

# Distribuição sob Ho
dist_rand_test = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    shuffled_data = randomization_resample(X, Y)

    # Estatística de interese      
    dist_rand_test.append(
        shuffled_data.loc[shuffled_data["X"] == "B", "Y"].mean() 
        - 
        shuffled_data.loc[shuffled_data["X"] == "D", "Y"].mean()
    )

dist_rand_test = np.array(dist_rand_test)

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (np.abs(dist_rand_test) >= np.abs(pB_obs - pD_obs)).mean()

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

p-valor = 1.00 ≥ α = 0.05 → Não rejeitamos H0

5. A taxa de conversão (evento) está associada ao tipo de campanha (grupo)?

Modelo Paramétrico

# Resultado Observado
Y = base["evento"].values
X = base["grupo"].values

obs = pd.crosstab(X, Y)
obs

col_0	0	1
row_0
A	40	35
B	28	47
C	33	42
D	29	46

# Resultado Esperado se X e Y não possuem relação

# Fração 0's e 1's geral
frac = (obs.sum()/obs.sum().sum()).values.reshape(1,2)

# Soma por linha
sum_by_row = obs.sum(axis=1).values.reshape(4,1)

# Esperado
exp = pd.DataFrame(np.matmul(sum_by_row, frac))
exp

	0	1
0	32.5	42.5
1	32.5	42.5
2	32.5	42.5
3	32.5	42.5

# X2 observado
obs = obs.values 
exp = exp.values
X2_obs = (((obs - exp)**2)/exp).sum()
print(f"X2_obs = {np.round(X2_obs, 2)}")

X2_obs = 4.83

Hipóteses do Teste (Qui-quadrado de independência)

• H₀ (Hipótese nula): Não há associação entre a taxa de conversão e o tipo de campanha. A diferença observada pode ser explicada apenas pela variabilidade amostral (isto é, pelo acaso).
• H₁ (Hipótese alternativa): Existe uma associação entre a taxa de conversão e o tipo de campanha.

# Construção da distribuição sob H0: Como as premissas abaixo são satisfeitas, podemos avaliar qual a probabilidade do acaso 
# produzir um valor tão extremo quanto X2_obs em uma distribuição Qui Quadrado (variáveis sem relação)
# a. As observações são independentes
# b. Supondo que não haja relação entre as variáveis
# c. Pelo menos 80% das células da tabela esperada possuem valores >= 5
# d. Nenhuma célula com valor esperado < 1

# Graus de liberdade
r = obs.shape[0]
c = obs.shape[1]
df = (r - 1) * (c - 1)
print(f"df = {np.round(df, 2)}")

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(X2 >= X2_obs)
p_value = 1 - chi2.cdf(X2_obs, df)

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

df = 3
p-valor = 0.18 ≥ α = 0.05 → Não rejeitamos H0

Conclusão

• Ao nível de significância de 5%, não encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
  Dessa forma, não há evidência de associação entre a ocorrência do evento (ex: conversão) e o tipo de campanha aplicada.
  

Modelo Computacional

Randomization Test

Y = base["evento"].values
X = base["grupo"].values

# Distribuição sob Ho
dist_rand_test = []

# Cálculo do Qui Quadrado
def chi2(X: np.array, Y: np.array):

    # Observado
    obs = pd.crosstab(Y, X)
    nrows_obs = obs.shape[0]
    ncols_obs = obs.shape[1]

    # Resultado Esperado se X e Y não possuem relação

    # Fração 0's e 1's geral
    frac = (obs.sum()/obs.sum().sum()).values.reshape(1,ncols_obs)

    # Soma por linha
    sum_by_row = obs.sum(axis=1).values.reshape(nrows_obs,1)

    # Esperado
    exp = pd.DataFrame(np.matmul(sum_by_row, frac))
    exp

    # X2 observado
    obs = obs.values 
    exp = exp.values
    X2_obs = (((obs - exp)**2)/exp).sum()
    return X2_obs

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    shuffled_data  = randomization_resample(X, Y)

    # Estatística de interese      
    dist_rand_test.append(chi2(shuffled_data["X"], shuffled_data["Y"]))

dist_rand_test = np.array(dist_rand_test)

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(X2 >= X2_obs)
p_value = (dist_rand_test >= X2_obs).mean()

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

p-valor = 0.19 ≥ α = 0.05 → Não rejeitamos H0

p_value

0.1881

6. Construa um intervalo de confiança de 95% para estimar o valor médio de compra (score) de todos os clientes.

# Variável observada: Somente clientes que realizaram alguma compra
X = base.loc[base["evento"] == 1, "score"].values

# Tamanho da amostra
n = X.shape[0]

# Média amostral observada
x_obs = X.mean()

# Desvio padrão amostral
s = X.std(ddof=1)

print(f"n = {n}")
print(f"x_obs = {np.round(x_obs, 2)}")
print(f"s = {np.round(s, 2)}")

n = 170
x_obs = 77.16
s = 13.52

Modelo Paramétrico

# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.

# Erro Padrão
SE = np.sqrt((s**2)/n)
print(f"SE = {np.round(SE, 2)}")

# Obtenção do tc
gama = .95
q    = (1- gama)/2 + gama
df   = n -1
tc   = t.ppf(df = df, q=q)
print(f"tc = {np.round(tc, 2)}")

# Intervalo de confiança
x0 = x_obs - tc*SE
x1 = x_obs + tc*SE
print(f"IC = [{np.round(x0, 2)}, {np.round(x1, 2)}]")
print(f"IC = {np.round(x_obs, 2)} +- {np.round(tc, 2)} * {np.round(SE, 2)}")

SE = 1.04
tc = 1.97
IC = [75.11, 79.21]
IC = 77.16 +- 1.97 * 1.04

Conclusão

• Temos 95% de confiança de que o verdadeiro valor do score populacional u está entre 75,11 e 79,21.
  Em outras palavras, acreditamos que o valor médio de compra da população se encontra nesse intervalo com 95% de confiança.
  

Modelo Computacional

bootstrap

# Remostragem bootstrap
def bootstrap_resample(X):

    # amostra bootstrap do mesmo tamanho de X
    return np.random.choice(X, size=len(X), replace=True)


# Distribução
dist_boot = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    X_boot = bootstrap_resample(X)

    # Estatística de interese    
    dist_boot.append(X_boot.mean())

dist_boot = np.array(dist_boot)

# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")

SE = 1.03

# Intervalo de confiança
x0 = np.quantile(dist_boot, (1 - gama)/2)
x1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(x0, 2)}, {np.round(x1, 2)}]")

IC = [75.12, 79.18]

7. O valor médio de compra (score) de todos os clientes é maior que R$ 70?

Hipóteses do Teste

• H₀ (Hipótese nula): O valor médio de compra não é maior que 70 reais. A média observada pode ser explicada apenas pela variabilidade amostral (isto é, pelo acaso na seleção da amostra).
• H₁ (Hipótese alternativa): O valor médio de compra é maior que 70 reais.

Notação formal:

• H₀: u = uo | (uo = 70)
• H₁: u > uo

Modelo Paramétrico

# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")

alpha = 0.05

# Distribuição sob H0
# - Supondo uma população com uo = 70
# - Com variância estimada igual a variancia amostral

# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.

# u0
uo = 70
print(f"uo = {np.round(uo, 2)}")

# Erro Padrão
SE = np.sqrt((s**2)/n)
print(f"SE = {np.round(SE, 2)}")

# Obtenção do t_obs
t_obs = (x_obs - uo)/SE
print(f"t_obs = {np.round(t_obs, 2)}")

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(t >= t_obs)
p_value = 1 - t.cdf(t_obs, df)

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

uo = 70
SE = 1.04
t_obs = 6.9
p-valor = 0.00 < α = 0.05 → Rejeitamos H0

Conclusão

• Ao nível de significância de 5% — ou seja, assumindo um risco de 5% de rejeitar incorretamente a hipótese nula —, encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
  Dessa forma, concluímos que o valor médio de compra é superior a 70 reais.

Modelo Computacional

Aqui podemos utilizar o bootstrap para criar a distribuição sob $H_0$, ou seja, gerar uma distribuição amostral da média a partir de uma população com $u = 70$, por meio da reamostragem com reposição de uma amostra inicial simulada de tamanho $n$ cuja média amostral ($x_{\text{amostral}}$) é igual a $70$.

# Criando amostra simulada com x_amostral = 70
X = base.loc[base["evento"] == 1, "score"].values
X_sim = X - X.mean() + 70

# Distribuição sob Ho
dist_boot = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    X_boot = bootstrap_resample(X_sim)

    # Estatística de interese      
    dist_boot.append(X_boot.mean())

dist_boot = np.array(dist_boot)

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (dist_boot >= x_obs).mean()

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

p-valor = 0.00 < α = 0.05 → Rejeitamos H0

8. Construa um intervalo de confiança de 95% para estimar a diferença no valor médio de compra entre os grupos B e D.

Modelo Paramétrico

# Grupo B: Teve cupom de desconto

# Variável observada: Somente clientes que realizaram alguma compra
XB = base.loc[(base["evento"] == 1) & (base["grupo"] == "B"), "score"].values

# Tamanho da amostra
nB = XB.shape[0]

# Média amostral observada
xB_obs = XB.mean()

# Desvio padrão amostral
sB = XB.std(ddof=1)

print(f"nB = {nB}")
print(f"xB_obs = {np.round(xB_obs, 2)}")
print(f"sB = {np.round(sB, 2)}")

nB = 47
xB_obs = 76.52
sB = 11.93

# Grupo D: Teve cupom de desconto

# Variável observada: Somente clientes que realizaram alguma compra
XD = base.loc[(base["evento"] == 1) & (base["grupo"] == "D"), "score"].values

# Tamanho da amostra
nD = XD.shape[0]

# Média amostral observada
xD_obs = XD.mean()

# Desvio padrão amostral
sD = XD.std(ddof=1)

print(f"nD = {nD}")
print(f"xD_obs = {np.round(pD_obs, 2)}")
print(f"sD = {np.round(sD, 2)}")

nD = 46
xD_obs = 0.61
sD = 11.28

# Diferença observada
diff_B_D_obs = xB_obs - xD_obs
print(f"diff_B_D_obs = {np.round(diff_B_D_obs, 2)}")

diff_B_D_obs = -6.78

# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.

# Erro Padrão
SE = np.sqrt((sB**2)/nB + (sD**2)/nD)
print(f"SE = {np.round(SE, 2)}")

# Obtenção do tc
gama = .95
q    = (1- gama)/2 + gama
df   = (((sB**2)/nB + (sD**2)/nD)**2)/((((sB**2)/nB)**2)/(nB - 1) + (((sD**2)/nD)**2)/(nD - 1))
tc   = t.ppf(df = df, q=q)
print(f"tc = {np.round(tc, 2)}")

# Intervalo de confiança
d0 = diff_B_D_obs - tc*SE
d1 = diff_B_D_obs + tc*SE
print(f"IC = [{np.round(d0, 2)}, {np.round(d1, 2)}]")
print(f"IC = {np.round(diff_B_D_obs, 2)} +- {np.round(tc, 2)} * {np.round(SE, 2)}")

SE = 2.41
tc = 1.99
IC = [-11.56, -2.0]
IC = -6.78 +- 1.99 * 2.41

Conclusão

• Com 95% de confiança, estimamos que a diferença média no valor de compra entre os grupos B e D está entre −11,56 e −2,00.
• Em outras palavras, acreditamos que os clientes do grupo B gastam, em média, entre 2 e 11,56 unidades a menos do que os do grupo D.

Modelo Computacional

bootstrap

# Distribução
dist_boot = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    XB_boot = bootstrap_resample(XB)
    XD_boot = bootstrap_resample(XD)

    # Estatística de interese    
    dist_boot.append(XB_boot.mean() - XD_boot.mean())

dist_boot = np.array(dist_boot)

# Erro Padrão
SE = dist_boot.std(ddof=1)
print(f"SE = {np.round(SE, 2)}")

SE = 2.4

# Intervalo de confiança
d0 = np.quantile(dist_boot, (1 - gama)/2)
d1 = np.quantile(dist_boot, 1 - (1 - gama)/2)
print(f"IC = [{np.round(d0, 3)}, {np.round(d1, 3)}]")

IC = [-11.478, -2.08]

9. Podemos afirmar que o grupo D gerou um valor médio de compra diferente do que o grupo B?

Hipóteses do Teste

• H₀ (Hipótese nula): Não há diferença no valor médio de compra entre os grupos B e D. Qualquer diferença observada pode ser explicada apenas pela variabilidade amostral (isto é, pelo acaso na seleção da amostra).
• H₁ (Hipótese alternativa): Há diferença no valor médio de compra entre os grupos B e D.

Notação formal:

• H₀: uB - uD = do | (do = 0)
• H₁: uB - uD != do

Modelo Paramétrico

# Nível de significância do teste
alpha = .05
print(f"alpha = {np.round(alpha, 2)}")

alpha = 0.05

# Distribuição sob H0
# - Supondo uma população com uB - uD = do = 0
# - Com variância estimada sB**2/nB + sD**2/nD

# Quando o tamanho da amostra é grande, o Teorema Central do Limite permite aproximar a distribuição da diferença da média amostral por uma normal.
# No entanto, como a variância populacional é desconhecida, usamos a variância amostral como estimativa.
# Isso introduz variabilidade adicional na estatística de teste, razão pela qual usamos a distribuição t de Student em vez da normal padrão.

# do
do = 0
print(f"do = {np.round(do, 2)}")

# Erro Padrão
SE = np.sqrt((sB**2)/nB + (sD**2)/nD)
print(f"SE = {np.round(SE, 2)}")

# Obtenção do t_obs
t_obs = diff_B_D_obs/SE
print(f"t_obs = {np.round(t_obs, 2)}")

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
# P(t >= t_obs)
df      = (((sB**2)/nB + (sD**2)/nD)**2)/((((sB**2)/nB)**2)/(nB - 1) + (((sD**2)/nD)**2)/(nD - 1))
p_value = t.cdf(t_obs, df)*2

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

do = 0
SE = 2.41
t_obs = -2.82
p-valor = 0.01 < α = 0.05 → Rejeitamos H0

p_value

0.005967074363250487

Conclusão

• Ao nível de significância de 5% — ou seja, assumindo um risco de 5% de rejeitar incorretamente a hipótese nula —, encontramos evidência estatística suficiente para rejeitar H₀ em favor de H₁.
• Dessa forma, concluímos que há diferença significativa no valor médio de compra entre os grupos B e D.

Modelo Computacional

Aqui podemos utilizar uma técnica computacional chamada Randomization Test para construir uma distribuição amostral das diferenças das médias entre os grupos B e D, sob a condição de $H_{0}$ verdadeiro.

Sob $H_{0}$ verdadeiro, assumimos que tanto B quanto D provêm da mesma população, ou seja, não há diferença na média obtida nesses dois grupos.

Uma forma de simular esse cenário é: a partir da amostra original de B e D, embaralhar todos os elementos e, supondo que não há diferença entre os grupos, selecionar sem reposição e de forma aleatória um pseudo-grupo B e um pseudo-grupo D. Em seguida, calcular a estatística de interesse para esses pseudo-grupos.

Repetindo esse processo muitas vezes, obtemos uma distribuição da estatística sob $H_{0}$.

c = ((base["grupo"] == "B") | (base["grupo"] == "D")) * (base["evento"] == 1) 
data = base.loc[c, ["score", "grupo"]].reset_index(drop=True)
X = data["grupo"].values
Y = data["score"].values

# Distribuição sob Ho
dist_rand_test = []

# Obtenção da distribuição bootstrap
for _ in range(10_000):
    
    # Reamostragem
    shuffled_data = randomization_resample(X, Y)

    # Estatística de interese      
    dist_rand_test.append(
        shuffled_data.loc[shuffled_data["X"] == "B", "Y"].mean() 
        - 
        shuffled_data.loc[shuffled_data["X"] == "D", "Y"].mean()
    )

dist_rand_test = np.array(dist_rand_test)

C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)
C:\Users\EFHXL\AppData\Local\Temp\ipykernel_22312\3255084130.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  shuffled_data = pd.concat([shuffled_data, aux], axis=0)

# Calculando p_value (probabilidade do acaso gerar um valor tão extremo quanto o observado)
p_value = (np.abs(dist_rand_test) >= np.abs(diff_B_D_obs)).mean()

# Decisão
if p_value < alpha:
    print(f"p-valor = {p_value:.2f} < α = {alpha} → Rejeitamos H0")
else:
    print(f"p-valor = {p_value:.2f} ≥ α = {alpha} → Não rejeitamos H0")

p-valor = 0.01 < α = 0.05 → Rejeitamos H0

p_value

0.0069